Machine Learning Engineer, Agentic AI Systems - Moveworks

ServiceNow • Mountain View, CA

1d

About The Position

Moveworks is seeking an experienced software engineer with machine learning expertise to join their NLU (natural language understanding) and agentic AI capabilities team. This role will focus on enhancing user experiences and improving Moveworks' generative and conversational AI capabilities. The NLU team has access to modern NLP and NLG tools, including LLMs, multimodal foundation models, and hybrid vector databases, along with the infrastructure for fine-tuning, evaluating, and serving models in production. The team is data-centric and supported by a world-class annotation team for building error-free, inclusive, and privacy-preserving datasets. The role goes beyond model training to achieve state-of-the-art AI performance in production, encompassing accuracy, quality, latency, reliability, and the overall end-to-end user-facing system. Successful engineers are motivated by designing and evolving compound AI systems and their components, moving fast, solving challenging product and engineering problems, and delivering value to customers. The work will contribute to understanding enterprise issues and building a reliable copilot, in collaboration with other Moveworks functions.

Requirements

• Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components.
• Ability to solve problems end-to-end with machine learning.
• Solid grasp of model evaluation fundamentals, especially for text generation, text classification, and non-uniform sampling regimes.
• Attention to detail and high standard of data quality for training and especially evaluation datasets.
• Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang.
• Knowledge of deep learning architectures and algorithms and leading large language models.
• Desire to work at a startup pace in a medium-sized company with a high degree of ownership.
• Drive to ship product improvements with production-grade code.
• Strong appetite for continuous incremental wins and completing challenging projects fast.
• High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU & AI.

Responsibilities

• Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all customers.
• Address challenges in conversational agent domains, including agent cognitive architecture iteration, multimodal agents, multilingual agents, conversational memory management, reasoning strategies (e.g., Tree of Thoughts / Graph of Thoughts), fine-tuning LLMs for tool use and enterprise reasoning (including preference alignment with RLHF/RLAIF/DPO), agent evaluation, active learning of exemplars for few-shot text classification, abstractive summarization, and grounding & verifiability for generated text.
• Advance Moveworks' commitments to responsible AI by expanding infrastructure for ensuring models work equally well for all people, red-teaming models for safety and intended behavior, and maintaining cutting-edge data privacy and security for ML.
• Design new algorithms and architectures using knowledge of machine learning fundamentals and LLMs, evaluate them with small-scale experiments, and productionize solutions at scale.
• Research and develop innovative, scalable, and dynamic solutions to complex problems.
• Enhance products and create delightful user experiences using the latest advances in machine learning and LLMs.
• Spend time weekly reading, discussing, and potentially building models from the latest ML research and open-source code.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed